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SUMMARY:Adaptive Networks 
DTSTART:20090619T141500
DTSTAMP:20260406T235732Z
UID:059e1a4f203614f819fbd216f5679187539159f4d543e7c8ebd6867c
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Ali H. Sayed\, University of California\, Los Angeles\nD
 istributed networks linking sensors and actuators will form the backbone o
 f future data communication and control networks. Applications will range 
 from sensor networks to precision agriculture\, environment monitoring\, d
 isaster relief management\, smart spaces\, target localization\, as well a
 s medical applications. In all these cases\, the distribution of the nodes
  in the field yields spatial diversity\, which should be exploited alongsi
 de the temporal dimension in order to enhance the robustness of the proces
 sing tasks and improve the probability of signal and event detection. Dist
 ributed processing techniques allow for the efficient extraction of tempor
 al and spatial information from data collected at such distributed nodes b
 y relying on local cooperation and data processing. This talk describes re
 cent developments in distributed processing over adaptive networks. The pr
 esentation covers adaptive filtering algorithms that allow neighboring nod
 es to communicate with each other. At each node\, estimates exchanged with
  neighboring nodes are fused and promptly fed into the local adaptation ru
 les. In this way\, an adaptive network is obtained where the structure as 
 a whole is able to respond in real-time to the temporal and spatial variat
 ions in the statistical profile of the data. Different adaptation or learn
 ing rules at the nodes\, allied with different cooperation protocols\, giv
 e rise to adaptive networks of various complexities and learning potential
 . The ideas are illustrated by considering algorithms of the least-mean-sq
 uares type\, although more general adaptation rules are also possible incl
 uding least-squares rules and Kalman-type rules. Both incremental and diff
 usion collaboration strategies are considered and comparison with consensu
 s mechanisms are provided. \nProf. Sayed's homepage
LOCATION:BC 01 https://plan.epfl.ch/?room==BC%2001
STATUS:CONFIRMED
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